Lujun Li

According to our database, Lujun Li authored at least 38 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ParZC: Parametric Zero-Cost Proxies for Efficient NAS.

Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu

CoRR, 2024

SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training.

Chendi Zhu, Lujun Li, Yuli Wu, Zhengxing Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.

Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

UniADS: Universal Architecture-Distiller Search for Distillation Gap.

Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.

Zimian Wei, Lujun Li, Peijie Dong, Zheng Hui, Anggeng Li, Menglong Lu, Hengyue Pan, Zhiliang Tian, Dongsheng Li

CoRR, 2023

TVT: Training-Free Vision Transformer Search on Tiny Datasets.

Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li

CoRR, 2023

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling.

Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu

CoRR, 2023

GP-NAS-ensemble: a model for NAS Performance Prediction.

Kunlong Chen, Liu Yang, Yitian Chen, Kunjin Chen, Yidan Xu, Lujun Li

CoRR, 2023

KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs.

Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NORM: Knowledge Distillation via N-to-One Representation Matching.

Xiaolong Liu, Lujun Li, Chao Li, Anbang Yao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.

Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li

Proceedings of the IEEE International Conference on Image Processing, 2023

Automated Knowledge Distillation via Monte Carlo Tree Search.

Lujun Li, Peijie Dong, Zimian Wei, Ya Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.

Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DMFormer: Closing the gap Between CNN and Vision Transformers.

Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model.

Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2023

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.

Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2023

A²-Aug: Adaptive Automated Data Augmentation.

Lujun Li, Anggeng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DisWOT: Student Architecture Search for Distillation WithOut Training.

Peijie Dong, Lujun Li, Zimian Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Hybrid and End-to-End Approaches for Noise Robust Automatic Speech Recognition.

Lujun Li

PhD thesis, 2022

Prior-Guided One-shot Neural Architecture Search.

Peijie Dong, Xin Niu, Lujun Li, Linzhen Xie, Wenbin Zou, Tian Ye, Zimian Wei, Hengyue Pan

CoRR, 2022

Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer.

Lujun Li, Zhe Jin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Teacher-free Distillation via Regularizing Intermediate Representation.

Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin

Proceedings of the International Joint Conference on Neural Networks, 2022

Boosting Online Feature Transfer via Separable Feature Fusion.

Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin

Proceedings of the International Joint Conference on Neural Networks, 2022

Self-Regulated Feature Learning via Teacher-free Feature Distillation.

Lujun Li

Proceedings of the Computer Vision - ECCV 2022, 2022

Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation.

Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Improving One-Shot NAS with Shrinking-and-Expanding Supernet.

Yiming Hu, Xingang Wang, Lujun Li, Qingyi Gu

Pattern Recognit., 2021

Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition.

Lujun Li, Yikai Kang, Yuchen Shi, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll

EURASIP J. Audio Speech Music. Process., 2021

Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing.

Lujun Li, Tobias Watzel, Ludwig Kürzinger, Gerhard Rigoll

IEEE Access, 2021

Induced Local Attention for Transformer Models in Speech Recognition.

Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll

Proceedings of the Speech and Computer - 23rd International Conference, 2021

Regularized Forward-Backward Decoder for Attention Models.

Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll

Proceedings of the Speech and Computer - 23rd International Conference, 2021

A Global Discriminant Joint Training Framework for Robust Speech Recognition.

Lujun Li, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

DOREP 2.0: An Upgraded Version of Robot Control Teaching Experimental Platform with Reinforcement Learning and Visual Analysis.

Shuai Wang, Lujun Li, Zhen Zhang, Hualiang Zhang

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2020

Synchronized Forward-Backward Transformer for End-to-End Speech Recognition.

Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll

Proceedings of the Speech and Computer - 22nd International Conference, 2020

CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition.

Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li, Tobias Watzel, Gerhard Rigoll

Proceedings of the Speech and Computer - 22nd International Conference, 2020

Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition.

Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll

Proceedings of the Speech and Computer - 22nd International Conference, 2020

2019

Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems.

Tobias Watzel, Lujun Li, Ludwig Kürzinger, Gerhard Rigoll

Proceedings of the Speech and Computer - 21st International Conference, 2019

Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes.

Ludwig Kürzinger, Tobias Watzel, Lujun Li, Robert Baumgartner, Gerhard Rigoll

Proceedings of the Speech and Computer - 21st International Conference, 2019

2018

Worst-Case Range Value-at-Risk with Partial Information.

Lujun Li, Hui Shao, Ruodu Wang, Jingping Yang

SIAM J. Financial Math., 2018